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The JASP guidelines for conducting and reporting a Bayesian analysis

Despite the increasing popularity of Bayesian inference in empirical research, few practical guidelines provide detailed recommendations for how to apply Bayesian procedures and interpret the results. Here we offer specific guidelines for four different stages of Bayesian statistical reasoning in a...

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Detalles Bibliográficos
Autores principales: van Doorn, Johnny, van den Bergh, Don, Böhm, Udo, Dablander, Fabian, Derks, Koen, Draws, Tim, Etz, Alexander, Evans, Nathan J., Gronau, Quentin F., Haaf, Julia M., Hinne, Max, Kucharský, Šimon, Ly, Alexander, Marsman, Maarten, Matzke, Dora, Gupta, Akash R. Komarlu Narendra, Sarafoglou, Alexandra, Stefan, Angelika, Voelkel, Jan G., Wagenmakers, Eric-Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8219590/
https://www.ncbi.nlm.nih.gov/pubmed/33037582
http://dx.doi.org/10.3758/s13423-020-01798-5
Descripción
Sumario:Despite the increasing popularity of Bayesian inference in empirical research, few practical guidelines provide detailed recommendations for how to apply Bayesian procedures and interpret the results. Here we offer specific guidelines for four different stages of Bayesian statistical reasoning in a research setting: planning the analysis, executing the analysis, interpreting the results, and reporting the results. The guidelines for each stage are illustrated with a running example. Although the guidelines are geared towards analyses performed with the open-source statistical software JASP, most guidelines extend to Bayesian inference in general.